Working with highly variable biological data. We are performing similarity calculations and using them to compare between different factors but is there some way to perform a multilevel analysis that takes into account similarities at lower levels? i.e. in the way a a multilevel ancova takes into account variability between lower levels rather than performing lots of t-tests.
Hello Lindsay
1. Your question is not very clear, and what is your problem?
2. The analysis should be based on your research questions and hypothesis.
3. Several statistical tests could be developed in your research( parametric and non-parametrics measures, testing of hypothesis of the differences, estimating some parameters, components analysis, correlation coefficients, the Euclidean distance or squared Euclidean distance, modelling regression equations, multiple comparisons, …) in order to investigate the multilevel similarity. But you need to explain the following points:
How many random variables do you have, how many dependent variables and independent variables?
What is the relation between the random variables, i.e. related or not.
The sample sizes of the random variables.
The properties of the variables
4. Regarding the published papers and indices of Multilevel similarity index analysis are almost similar to the statistical tests and measures but with some practical applications.
Regards,
Zuhair
Sorry,
5. A. Some references of the Statistical tests and measures are available in:
i. Cochran,W.G. (1977). Sampling techniques, Wiley.
ii. Snedecor, W.G. and Cochran,W.G. (1989). Statistical Methods, Blackwell.
iii. Landau, S. and Everitt, B. S.(2004). A Handbook of Statistical analyses using SPSS.
iv. .Howitt, D. and Cramer, D.(2008). Introduction to SPSS.
B. Some references of the Statistical tests and measures with specific applications are given below:
v. S Ganguly and R Mishra (2010). Comparative Molecular Similarity Indices Analysis of 1-(Naphthylalky1)-1H-imidazole Analogs with Antiepileptic Activity. Oct-Dec; 2(4): 388–393. doi: 10.4103/0975-1483.71635. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3019379/
vi. Ola H Diserud* and Frode Ødegaard (2007). A multiple-site similarity measure. Biol Lett. 2007 Feb 22; 3(1): 20–22. doi: 10.1098/rsbl.2006.0553. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2373804/
vii. Gerhard Klebe, Ute Abraham, and Thomas Mietzner (1994).Molecular Similarity Indices in a Comparative Analysis (CoMSIA) of Drug Molecules to Correlate and Predict Their Biological Activity. J. Med. Chem., 1994, 37 (24), pp 4130–4146
https://pubs.acs.org/doi/abs/10.1021/jm00050a010
viii.J. W. Johnston (1976). Similarity Indices I: What Do They Measure?
Pacific Northwest Laboratories
https://www.osti.gov/servlets/purl/7256702
I too do not understand the question - can you tell us what you are trying to do or point to a reference
I use multilevel modelling a lot to look at dissimilarity indices but we may not be meaning the same thing as you are!
https://www.researchgate.net/project/Modelling-segregation-methodological-developments
https://www.researchgate.net/project/Modelling-segregation-applying-the-new-methdologies
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